Search Results for "network performance" - Page 4
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Showing 92 open source projects for "network performance"
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MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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cnn-benchmarks
Benchmarks for popular CNN models
The cnn-benchmarks project is a collection of benchmarking scripts designed to evaluate the performance of convolutional neural networks across different hardware and configurations. It provides standardized implementations of popular CNN architectures, enabling developers to measure training speed, memory usage, and computational efficiency. The project focuses on reproducibility, allowing consistent comparisons between models and environments. It is particularly useful for testing GPUs and... -
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ADO.Net DAC for Delphi
Fastest and most reliable database connectivity solutions for any DB
ADO.Net Data Access Components (DAC) for Delphi is the fastest and most reliable database connectivity solutions for any database using ADO.Net technology in Delphi. It provides data access to data sources such as SQL Server, Oracle and to data sources exposed through OLE DB and ODBC using ADO.Net data provider framework. ADO.Net DAC for Delphi is an enterprise solution with highest performance and unlimited possibilities. Data-sharing consumer applications can use ADO.NET DAC for Delphi to... -
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Swift AI
The Swift machine learning library
Swift AI is a high-performance deep learning library written entirely in Swift. We currently offer support for all Apple platforms, with Linux support coming soon. Swift AI includes a collection of common tools used for artificial intelligence and scientific applications. A flexible, fully-connected neural network with support for deep learning. Optimized specifically for Apple hardware, using advanced parallel processing techniques. -
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Face Verification Experiment
Original Caffe Version for LightCNN-9. Highly recommend to use PyTorch
face_verification_experiment is a research repository focused on experiments in face verification using deep learning. It provides implementations and scripts for testing different neural network architectures and training strategies on face recognition and verification tasks. The project is designed to help researchers and practitioners evaluate the performance of models on standard datasets and explore techniques for improving accuracy. By offering experimental setups, it enables reproducibility and comparative study of face verification approaches. ... -
Build Agents and Models on One PlatformGemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.
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Netty Learning
Web application framework for Java
Netty Learning is a Chinese-language learning repository focused on explaining the source code and architecture of the Netty Java networking framework. It is aimed at developers who already use Netty or want to understand how high-performance network applications are built. The material examines Netty's design principles, networking concepts, and major internal structures. Articles cover buffers, Channel pipelines, the Reactor pattern, handlers, and asynchronous behavior. A practical section demonstrates building a SOCKS proxy with Netty. The repository also includes source material related to Netty 3.7 and links to additional learning resources. ... -
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Behaviour Control Framework
A C++ framework that uses inhibition trees for behaviour control.
The Behaviour Control Framework is a generic platform-independent C++ framework that implements a control architecture consisting of a hierarchical network of behaviour layers. These layers each contain behaviours that can inhibit one another and interact to achieve control. A full discussion of the structure and ideas behind this framework can be found in the Doxygen documentation that comes with the release. This documentation is well worth a read before you decide if the library is for you! ... -
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Bocker
Docker implemented in around 100 lines of bash
Bocker is a minimal, educational reimplementation of core container (Docker-like) functionality, done in about a hundred lines of Bash script. Its purpose is not to replace Docker’s full feature set, but to illustrate container primitives—namespaces, cgroups, layering, filesystem manipulation, network namespaces, etc.—in a transparent, minimal form. With bocker you can perform basic operations such as pulling an image, running a container, exec into a container, listing containers, and removing them. Because it's written in shell, it is easy to read, reason about, and adapt for experiments or instructional use. It is not intended for production use due to performance, security, and missing features, but it is a useful tool for learning how containers work under the hood. ... -
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MythCore
Myth Framework Core Libraries (part of MythSDP)
MythCore is a PHP framework that allows the developer to use a C# .NET like object oriented programming approach. It provides the essential classes that the MythSDP platform and the MythFramework builds upon. The goal is to create a library that enables the programmer to use a fully object oriented approach that has the "feel" of .NET and Java programming. Our main goal is ease of use and rapid application development. However, performance and small-footprint are some of the main design... -
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Easy Simple Network Library
A MINA-like, cross-platform C++ network library based on boost::asio
The full name of "esnetwork" is "easy simple network library". It is a cross-platform C++ network library based on boost::asio (http://think-async.com). It aims to be a simple, easy-to-use and full-featured networking framework, like MINA in Java. -
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android-common-lib
Android common lib, ImageCache, HttpCache, DropDownListView, etc.
The Dev Tools App is a powerful android development tool that can help you improve efficiency greatly, It can be used to view the latest open source projects, view activity history, view manifest, decompile, color picker, extract apk or so, view app info, open or close the developer options quickly, and more. Includes cache (picture cache, prefetch cache, network cache), public View (drop down and load more ListView at the bottom, load more ScrollView at the bottom, slide a page Gallery) and... -
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Shadowsocks-Nodejs
Node.js port of Shadowsocks
Shadowsocks-Nodejs is a Node.js implementation of the Shadowsocks proxy protocol, providing server and client components that let users create an encrypted proxy tunnel to bypass network filtering and protect traffic in transit. The project reimplements the lightweight, stream-oriented Shadowsocks protocol in JavaScript so operators can run servers and clients using Node.js environments rather than native binaries or Python ports. It exposes typical Shadowsocks features such as configurable ciphers, listening ports, and worker process models that let operators tune performance for their deployment. ... -
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PINNLib
Pseudo-inverse associative neural networks library
C++ implementation of high-performance associative neural networks models based on pseudo-inverse learning rule, also known as projection rule or attractor-based rule -
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Falcon Time
High Performance LAN Time Synchronization
Falcon Time consists of two parts, a time server that will provide the base time for the network and an application library that is linked in to each application wishing to use the synchronized time from the time client. It is designed to work over a Local Area Network (LAN) and can synchronize time between two systems down to the time required for a ping between them or even below. It is also quick to start-up, being ready for use by the application in just a few milliseconds, rather... -
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cognity
A neural network library for Java.
Cognity is an object-oriented neural network library for Java. It's goal is to provide easy-to-use, high level architecture for neural network computations along with reasonable performance. -
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FeedForwardNeuralNetworkC++
Feedforward Neural Network writen in C++
Feedforward Neural Network writen in C++ serial and parallelized in TBB library. Also using Autotune library for best parallel performance. -
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Zebra_Session
A wrapper for PHP’s default session handler, using MySQL for storage
Zebra_Session is a PHP class that acts as a wrapper for PHP's default session handling functions but instead of storing session data in flat files it stores them in a MySQL database, thus providing both better security and better performance. The library is also a solution for applications that are scaled across multiple web servers (using a load balancer or a round-robin DNS) and where the user's session data needs to be available. Storing sessions in a database makes them available to... -
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Multi-Core optimized Perceptron Network is a high-performance artificial neural network specially designed for workstations with multi-core CPUs, implemented as a shared library and coded in C++.
